PT Unknown
AU Rafael E. Rivadeneira
   Angel Sappa
   Boris X. Vintimilla
   Jin Kim
   Dogun Kim
   Zhihao Li
   Yingchun Jian
   Bo Yan
   Leilei Cao
   Fengliang Qi
   Hongbin Wang Rongyuan Wu
   Lingchen Sun
   Yongqiang Zhao
   Lin Li
   Kai Wang
   Yicheng Wang
   Xuanming Zhang
   Huiyuan Wei
   Chonghua Lv
   Qigong Sun
   Xiaolin Tian
   Zhuang Jia
   Jiakui Hu
   Chenyang Wang
   Zhiwei Zhong
   Xianming Liu
   Junjun Jiang
TI Thermal Image Super-Resolution Challenge Results – PBVS 2022
BT IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
PY 2022
BP 418
EP 426
DI 10.1109/CVPRW56347.2022.00057
AB This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image dataset as the first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was kept aside for testing. The evaluation tasks were to measure the PSNR and SSIM between the SR image and the ground truth (HR thermal noisy image downsampled by four), and also to measure the PSNR and SSIM between the SR image and the semi-registered HR image (acquired with another camera). The results outperformed those from last year’s challenge, improving both evaluation metrics. This year, almost 100 teams participants registered for the challenge, showing the community’s interest in this hot topic.
ER